What is the name of the optimal boundary that is equidistant from the closest support vectors and maximizes the margin?

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Multiple Choice

What is the name of the optimal boundary that is equidistant from the closest support vectors and maximizes the margin?

In SVMs, you choose the decision boundary (the hyperplane) that has the largest possible margin—the distance from the boundary to the nearest data points on either side. Those closest points are the support vectors, and the boundary is positioned so it’s equidistant to them, maximizing that margin. The label for this concept is the maximum margin classifier, which describes the model that yields this optimal boundary. Marginal distance is a measure, not the boundary itself; support vectors are the data points that define the margin; and the boundary is a general term, whereas the maximum margin classifier specifies the method of achieving the largest margin.

In SVMs, you choose the decision boundary (the hyperplane) that has the largest possible margin—the distance from the boundary to the nearest data points on either side. Those closest points are the support vectors, and the boundary is positioned so it’s equidistant to them, maximizing that margin. The label for this concept is the maximum margin classifier, which describes the model that yields this optimal boundary.

Marginal distance is a measure, not the boundary itself; support vectors are the data points that define the margin; and the boundary is a general term, whereas the maximum margin classifier specifies the method of achieving the largest margin.

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